期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：227
期号：3
页码：032026
DOI：10.1088/1755-1315/227/3/032026
出版社：IOP Publishing
摘要：Due to the rapid progress of electrification and the rising accommodation of renewable energy, the peak-to-valley difference of power grids has been increasing, and the peak loading pressure of power grids has arised. It has become a trend to use controllable loads to participate in power grid peak shaving. At present, electric vehicles and thermal storage electric boilers, which are widely implemented in northern China, provide a reliable source for controllable loads. Based on the analysis of the operational characteristics of electric vehicles and thermal storage electric boilers, this paper studies the charge and discharge control strategies for auxiliary peak shaving. The Monte Carlo method is used to simulate the charging behavior of electric vehicle users. Under the premise of considering the constraints of electric vehicle charging and discharging power, battery capacity and the power consumption of the thermal storage electric boilers, the mathematical model is established with the goal of suppressing the daily load curve, and the particle swarm optimization algorithm is used to solve the optimization problem. The simulation results show that electric vehicles and thermal storage electric boilers are jointly involved in load balancing, and the daily load curve is significantly levelled compared with the original curve.
